Research Engineer - Reinforcement Learning, Self-Driving
About The Position
Applied Intuition is seeking multiple passionate Research Engineers to join its Research Group. This group focuses on creating cutting-edge technology for next-generation physical AI, particularly in end-to-end autonomous driving and robotic generalist applications. The team comprises leading experts with significant academic and industry contributions. Researchers have access to industry-leading tools, millions of miles of data, and can deploy their developed methods into various autonomous and robotic systems. The role involves contributing to and learning from best practices in the autonomy and robotics industries within a fast-paced, customer-focused culture. Improvements deployed to the system directly benefit customers and the business. The company is open to all years of experience, including those with potential Tech Lead and Manager capacity.
Requirements
- Hands-on experience in at least one of the following fields: Self-play RL and imitation learning, behavior learning; VLA post-training for autonomy or robotics; Large-scale closed-loop RL in driving simulation; Large-scale RL training infrastructure (Ray preferred)
- Passion for next-generation, scalable autonomy and robotics for real-world systems
- Strong engineering and research skills and the ability to work both independently and collaboratively on projects
- Technical experience in: Python, Pytorch, computer vision, robotics systems, and distributed machine learning model training
Nice To Haves
- Industry experience on relevant topics (self-driving application preferred)
- MSc or PhD in machine learning and computer vision with autonomy and robotics applications or closely related field
- Passion for building and shipping customer-focused software frameworks or tools
Responsibilities
- Conduct research on reinforcement learning (RL) and its training infrastructure, including topics on large-scale self-play RL, VLA post-training, large-scale closed-loop RL based on neural simulation with applications to autonomous driving
- Work closely with Research Scientists and interns on high-quality research publications to submit to top-tier conferences
- Collaborate with engineering teams on ADAS, data, and simulation to deploy end-to-end algorithms for mass production vehicles, and neural simulation/generation for tools supporting autonomy development
Benefits
- Base salary
- Equity (options and/or restricted stock units)
- Comprehensive health, dental, vision, life and disability insurance coverage
- 401k retirement benefits with employer match
- Learning and wellness stipends
- Paid time off
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Entry Level
